An Integrated Nucleic Acid Sequence-Based Amplification (NASBA) and CRISPR-Cas13a-Based Platform for Accurate and Sensitive Detection of Cucumber Mosaic Virus.

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Herma A Demissie, Subha Das, Jeremy R Thompson, Julius B Lucks
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引用次数: 0

Abstract

Cucumber mosaic virus (CMV) is a highly prevalent ssRNA viral crop pathogen that contributes to substantial losses in agricultural productivity worldwide. The first step in managing the impact of this pathogen is an accurate and timely diagnosis. However, current sensing strategies are hampered by several limitations, including insufficient sensitivity, off-target effects, and the need for complex instrumentation. To address these challenges, we refined a highly specific and sensitive system that pairs nucleic acid sequence-based amplification (NASBA) with clustered regularly interspaced short palindromic repeats (CRISPR)-Cas13a to selectively amplify and detect crop pathogens. To configure this system for CMV biosensing, we first screened guide RNAs and successfully validated designs that detect attomolar concentrations of purified CMV fragments. We then developed a simplified reaction assembly workflow toward optimizing the system for downstream point-of-use utility. Using this workflow, we demonstrated minimal matrix effects when detecting purified CMV fragments in a range of plant lysate backgrounds and showed high test specificity to CMV in the presence of common nontarget viral crop pathogens. We also showed that the NASBA-Cas13a system effectively detects the viral target in infected plant samples, as validated by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Finally, we optimized the system for lyophilization and long-term storage, toward preparing it for point-of-use settings. This work expands the suite of CMV diagnostic tools, offering a sensitive, specific, and user-friendly biosensing strategy. Through modular design, this assay has the potential to be reconfigured for the detection of a range of crop viruses, enhancing viral surveillance and improving infection management.

基于核酸序列扩增(NASBA)和crispr - cas13的黄瓜花叶病毒综合检测平台
黄瓜花叶病毒(CMV)是一种高度流行的ssRNA病毒作物病原体,在世界范围内造成农业生产力的重大损失。管理这种病原体影响的第一步是准确和及时的诊断。然而,目前的传感策略受到一些限制,包括灵敏度不足、脱靶效应和需要复杂的仪器。为了解决这些挑战,我们改进了一种高度特异性和敏感性的系统,将基于核酸序列的扩增(NASBA)与聚集规律间隔的短回文量重复序列(CRISPR)-Cas13a配对,以选择性地扩增和检测作物病原体。为了将该系统配置为CMV生物传感,我们首先筛选了引导rna,并成功验证了检测纯化CMV片段原子摩尔浓度的设计。然后,我们开发了一个简化的反应装配工作流,以优化下游使用点的系统。利用这一工作流程,我们证明了在一系列植物裂解液背景下检测纯化的巨细胞病毒片段时基质效应最小,并且在常见的非目标病毒作物病原体存在时显示出对巨细胞病毒的高检测特异性。通过逆转录-定量聚合酶链反应(RT-qPCR),我们还发现NASBA-Cas13a系统可以有效地检测受感染植物样品中的病毒靶标。最后,我们优化了冻干和长期储存的系统,为使用点设置做好准备。这项工作扩展了巨细胞病毒诊断工具套件,提供了一种敏感、特异性和用户友好的生物传感策略。通过模块化设计,该检测方法有可能被重新配置,用于检测一系列作物病毒,加强病毒监测和改善感染管理。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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